A developer's field test of running local AI models on consumer GPUs in 2026 finds that memory capacity is the key constraint, with 8GB handling 3B-4B models and 32GB enabling 14B-30B models via quant…
Intel's new ASUS NUC 16 Pro mini PCs, tested in a cluster of three, failed to speed up large language model inference, with token generation dropping to half the single-machine rate due to memory band…
Beelink's SER10 Max mini PC, powered by AMD's Ryzen AI 9 HX 470 "Gorgon Point" chip, matches Apple's M4 Pro on a single TypeScript benchmark but falls flat elsewhere, with local LLM performance hamper…
Local AI users are accumulating hundreds of gigabytes of model files, including multiple quantizations of the same model, image and video generation weights, and RAG datasets, often with duplicates th…